Modeling and quantifying biochemical changes in C6 tumor gliomas by Fourier transform infrared imaging.
The purpose of the study was to investigate molecular changes associated with glioma tissues using FT-IR microspectroscopic imaging (FT-IRM). A multivariate statistical analysis allowed one to successfully discriminate between normal, tumoral, peri-tumoral, and necrotic tissue structures. Structural changes were mainly related to qualitative and quantitative changes in lipid content, proteins, and nucleic acids that can be used as spectroscopic markers for this pathology. We have developed a spectroscopic model of glioma to quantify these chemical changes. The model constructed includes individual FT-IR spectra of normal and glioma brain constituents such as lipids, DNA, and proteins (measured on delipidized tissue). Modeling of FT-IR spectra yielded fit coefficients reflecting the chemical changes associated with a tumor. Our results demonstrate the ability of FT-IRM to assess the importance and distribution of each individual constituent and its variation in normal brain structures as well as in the different pathological states of glioma. We demonstrated that (i) cholesterol and phosphatidylethanolamine contributions are highest in corpus callosum and anterior commissure but decrease gradually towards the cortex surface as well as in the tumor, (ii) phosphatidylcholine contribution is highest in the cortex and decreases in the tumor, (iii) galactocerebroside is localized only in white, but not in gray matter, and decreases in the vital tumor region while the necrosis area shows a higher concentration of this cerebroside, (iv) DNA and oleic acid increase in the tumor as compared to gray matter. This approach could, in the future, contribute to enhance diagnostic accuracy, improve the grading, prognosis, and play a vital role in therapeutic strategy and monitoring.
Beljebbar
Abdelilah
A
Unite MeDIAN, Universite de Reims Champagne-Ardenne, UMR CNRS 6237-MEDYC, IFR 53, UFR de Pharmacie, 51 Rue Cognacq-Jay, 51096 Reims Cedex, France. abdelilah.beljebbar@univ-reims.fr
Amharref
Nadia
N
Lévèques
Antoine
A
Dukic
Sylvain
S
Venteo
Lydie
L
Schneider
Laurence
L
Pluot
Michel
M
Manfait
Michel
M
D000818:Animals; D001669:Biochemical Phenomena; D001921:Brain / Q000166:cytology / Q000378:metabolism / Q000473:pathology; D001932:Brain Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D002417:Cattle; D045744:Cell Line, Tumor; D016000:Cluster Analysis; D005910:Glioma / Q000737:chemistry* / Q000175:diagnosis / Q000378:metabolism* / Q000473:pathology; D006801:Humans; D016014:Linear Models; D050356:Lipid Metabolism; D008055:Lipids / Q000032:analysis; D008297:Male; D008954:Models, Biological; D009696:Nucleic Acids / Q000032:analysis / Q000378:metabolism; D011506:Proteins / Q000032:analysis / Q000378:metabolism; D051381:Rats; D017550:Spectroscopy, Fourier Transform Infrared
D008055:Lipids; D009696:Nucleic Acids; D011506:Proteins